The language of choice for large, high-performance applications in Linux is almost always C, or somewhat less often C++. Both are powerful languages that allow you to create high-performance natively ...

In the last post introducing Python, I demonstrated how to make a simple app using variables and conditional statements. In order to do anything really powerful in a given programming language though, ...

No more waiting on slow-loading modules or wasting time on ad hoc workarounds: Python 3.15’s new ‘lazy imports’ mechanism has you covered. When you import a module in Python, the module’s code must be ...

This Python tutorial explains how functions work and why they are essential for writing reusable, organized code. The lesson begins with creating a basic function using the def keyword, calling it, ...

But in many cases, it doesn’t have to be an either/or proposition. Properly optimized, Python applications can run with surprising speed—perhaps not as fast as Java or C, but fast enough for web ...

Not every programmer likes creating GUI code. Most hacker types don’t mind a command line interface, but very few ordinary users appreciate them. However, if you write command line programs in Python, ...

Everyone has their toolbox of favorite programs that they install on their machines whenever they get a new one. Working with Python, I've built up my own essential toolkit. Here are the libraries and ...